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Design for How People Think by John Whalen

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[ Index ]

A

abstract concepts, 3137

acuity, visual, 1617

affinities and psychological profiles, 141143

AI Winter, 196

Alexa (Amazon), 2829, 198

Amazon Alexa, 2829, 198

analyzing dreams, 55, 5960, 131133

analyzing user research. See Post-It note categorization method

analyzing word frequency, 9697

appeal (form of emotion), 130131, 161163, 175

Apple Siri, 28, 198199

Ariely, Dan, 57

artifacts (what researchers notice), 68

artificial intelligence

artificial neural networks, 197199

background information, 196197

recommendations for, 202

statistical learning, 197199

Assistant app (Google), 198

assumptions

challenging internal, 155156

contextual interviews and, 71, 81

empathy research and, 6566

attention. See vision, attention, and automaticity

audience segmentation

case study, Millennial money, 152154

case study, trust in credit, 154

challenging internal assumptions, 155156

creating, 7778, 113, 141, 152154

emotion and, 147148

empathy research and, 155158

finding the dimensions, 152155

identifying, 117

language and, 143146

psychographic profiles, 131132, 141143

recommendations for, 160

wayfinding and, 149151

augmented reality (AR), 24

automaticity. See vision, attention, and automaticity

awaken (form of emotion), 130131, 165166, 175

B

behaviors, unconscious, 1214, 64, 70

blockers (problems), 5253

boundary extension, 3536

brain

artificial intelligence and, 196198

spatial information and, 1921

too much information, 5657

what information/pathway, 9

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